主  題: Robust t-Process Functional ANOVA Model

內(nèi)容簡(jiǎn)介: Gaussian process regression model has already been used to fit data widely, and lots of its nice properties have been proved. In this talk, we combine a robust extended t-process with a Gaussian process in ANOVA functional model. Because of the extended t-process model’s clear construction, it inherits a lot of pretty properties from the GPR model. In this talk, robust property and information consistency of the Robust t-process functional ANOVA model are discussed. Simulation and real data studies present that the model has a robust fit about data and a good ability to predict it,compared with other functional methods.

報(bào)告人: 吳耀華      教授    博導(dǎo)
時(shí)  間: 2017-12-04    09:30

地  點(diǎn): 競(jìng)慧東樓302

舉辦單位: 理學(xué)院  統(tǒng)計(jì)科學(xué)與大數(shù)據(jù)研究院  科研部